Infosys
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Overview
Infosys is seeking a
Data science AI/ML Architect Consultant . The candidate will be innovative and creative in data analysis, problem solving and presentation of solutions. The candidate will collaborate with an engineering team to bring analytical prototypes to production. The candidate will analyze raw data: assessing quality, cleansing, and structuring for downstream processing. The candidate will design accurate and scalable AI solutions, derive use-cases, and create solutions from structured/unstructured data. The candidate will be responsible for storytelling, business & stakeholder communication, and documentation. Responsibilities
Analyze raw data: assess quality, cleanse, and structure for downstream processing. Design accurate and scalable AI/ML solutions and use-case derivation from structured and unstructured data. Collaborate with the engineering team to bring analytical prototypes to production. Storytelling, business and stakeholder communication, and documentation of solutions. Troubleshoot and optimize applications to ensure performance. Work in a global delivery environment. Required Qualifications
Candidate must be located within commuting distance of Phoenix, AZ or Richardson, TX or be willing to relocate to the area. Travel in the US may be required. Bachelor’s degree or foreign equivalent from an accredited institution. Three years of progressive experience in the specialty may be substituted for every year of education. At least 11 years of Information Technology experience. Strong understanding of data analytics best practices and ability to apply them to AI solutions/products. Experience in building integrated solutions with NLP, Vision, Recommendation Engines, Forecast, Time-Series, and Predictive Algorithms. Programming Skills: Python, Scikit-Learn, TensorFlow, PyTorch, matplotlib. Exploratory Data Analysis, Machine Learning and Deep Learning Algorithms. Hypothesis definition, model building, hyperparameter tuning, and model performance metrics. Statistics knowledge (probability distributions, hypothesis testing). Platform exposure with cloud AI services, ML services, MLOps, AIOps. Understanding of planning, design, management, execution, and reporting of AI/Cognitive solutions. Experience with TDD practices/frameworks (JUnit, Jest, Karma, Jasmine). Troubleshoot and debug applications for optimal performance. Experience and willingness to work in a global delivery environment. Authorized to work in the United States without employer-sponsored visa sponsorship (no immigration sponsorship available for this role). Preferred Qualifications
Knowledge of Cloud implementation – Azure, Kubernetes/Docker. Experience in developing & deploying Microservices, Data Modeling, Database Design, tuning design parameters, normalization, and performance optimization. Experience with Middleware, Open-Source tools & technologies. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Experience in production support is a plus. Experience with monitoring tools is a plus. Good communication and analytical skills. About Infosys
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation with an AI-powered core and agile digital at scale to deliver performance and customer delight. Our learning agenda drives continuous improvement through building and transferring digital skills and ideas from our innovation ecosystem. Equal Opportunity
Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity, sexual orientation, religious practices and observances, national origin, pregnancy, childbirth, or related medical conditions, status as a protected veteran or spouse/family member of a protected veteran, or disability.
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Infosys is seeking a
Data science AI/ML Architect Consultant . The candidate will be innovative and creative in data analysis, problem solving and presentation of solutions. The candidate will collaborate with an engineering team to bring analytical prototypes to production. The candidate will analyze raw data: assessing quality, cleansing, and structuring for downstream processing. The candidate will design accurate and scalable AI solutions, derive use-cases, and create solutions from structured/unstructured data. The candidate will be responsible for storytelling, business & stakeholder communication, and documentation. Responsibilities
Analyze raw data: assess quality, cleanse, and structure for downstream processing. Design accurate and scalable AI/ML solutions and use-case derivation from structured and unstructured data. Collaborate with the engineering team to bring analytical prototypes to production. Storytelling, business and stakeholder communication, and documentation of solutions. Troubleshoot and optimize applications to ensure performance. Work in a global delivery environment. Required Qualifications
Candidate must be located within commuting distance of Phoenix, AZ or Richardson, TX or be willing to relocate to the area. Travel in the US may be required. Bachelor’s degree or foreign equivalent from an accredited institution. Three years of progressive experience in the specialty may be substituted for every year of education. At least 11 years of Information Technology experience. Strong understanding of data analytics best practices and ability to apply them to AI solutions/products. Experience in building integrated solutions with NLP, Vision, Recommendation Engines, Forecast, Time-Series, and Predictive Algorithms. Programming Skills: Python, Scikit-Learn, TensorFlow, PyTorch, matplotlib. Exploratory Data Analysis, Machine Learning and Deep Learning Algorithms. Hypothesis definition, model building, hyperparameter tuning, and model performance metrics. Statistics knowledge (probability distributions, hypothesis testing). Platform exposure with cloud AI services, ML services, MLOps, AIOps. Understanding of planning, design, management, execution, and reporting of AI/Cognitive solutions. Experience with TDD practices/frameworks (JUnit, Jest, Karma, Jasmine). Troubleshoot and debug applications for optimal performance. Experience and willingness to work in a global delivery environment. Authorized to work in the United States without employer-sponsored visa sponsorship (no immigration sponsorship available for this role). Preferred Qualifications
Knowledge of Cloud implementation – Azure, Kubernetes/Docker. Experience in developing & deploying Microservices, Data Modeling, Database Design, tuning design parameters, normalization, and performance optimization. Experience with Middleware, Open-Source tools & technologies. Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Experience in production support is a plus. Experience with monitoring tools is a plus. Good communication and analytical skills. About Infosys
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation with an AI-powered core and agile digital at scale to deliver performance and customer delight. Our learning agenda drives continuous improvement through building and transferring digital skills and ideas from our innovation ecosystem. Equal Opportunity
Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity, sexual orientation, religious practices and observances, national origin, pregnancy, childbirth, or related medical conditions, status as a protected veteran or spouse/family member of a protected veteran, or disability.
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